under ArcHydro > Wetland Identification Model toolset > there's a tool called `Train Random Trees` which has a parameter called `Output Variable Importance` which returns text file showing how important each band (variable) for the model learning. I think this (Variable Importance) should be adopted under broader deep learning tools as well as it can really help determine which variables are most important for a use-case.

Tool Output:
